iPad16,1
Geekbench AI Score
3769
Single Precision Score
6835
Half Precision Score
5623
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 22 2025 01:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3028
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6785
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13139
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.6 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2320
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6807
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3789
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6562
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12935
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8921
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19854
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32562
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26780
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5517
203.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4308
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5661
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7406
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7647
132.1 IPS |
